Learning Rich Detailed Features and Object Relations for Object Detection-Reference-Cited by-同舟云学术

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Learning Rich Detailed Features and Object Relations for Object Detection

Published:2023-06-18 Issue: Volume: Page:
ISSN:
Container-title:2023 International Joint Conference on Neural Networks (IJCNN)
language:
Short-container-title:

Author:

Xia Yuantian¹,Lu Shuhan²,Wang Longhe³,Li Lin¹

Affiliation:

1. College of Information and Electrical Engineering, China Agricultural University,Beijing,China

2. School of Information, University of Michigan,Ann Arbor,USA

3. China Agricultural University,National Research Facility for Phenotypic and Genotypic Analysis of Model Animals,Beijing,China

Funder

National Key R&D Program of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10190990/10190992/10191362.pdf?arnumber=10191362

Reference35 articles.

1. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

2. Microsoft coco: Common objects in context;lin;European Conference on Computer Vision,2014

3. Path Aggregation Network for Instance Segmentation

4. The Pascal Visual Object Classes (VOC) Challenge

5. Selective Search for Object Recognition

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